Good morning, AI enthusiast.

Nvidia and OpenAI just announced a landmark partnership, with the chipmaker planning a $100 billion investment to build out a massive AI compute infrastructure. This historic deal aims to provide the raw power for OpenAI's next generation of frontier models.

The partnership provides OpenAI with an immense amount of computational fuel and further cements Nvidia's central role in the industry. But with investment levels reaching such unprecedented scales, how can any other players hope to compete at the very top of AI development?

In today’s AI recap:

• Nvidia's $100B OpenAI partnership

• OpenAI's new hardware ambitions

• The rise of AI 'workslop'

• 8 trending AI Tools

Nvidia's $100B OpenAI Bet

The Recap: Nvidia and OpenAI announced a landmark partnership where the chipmaker intends to invest up to $100 billion to help deploy at least 10 gigawatts of AI compute infrastructure for OpenAI's next-generation models.

Unpacked:

• This massive buildout is equivalent to deploying 4 to 5 million of Nvidia's advanced GPUs, roughly the company's entire shipment volume for this year.

• The first phase of the project is set to come online in the second half of 2026, and it will be powered by Nvidia's next-generation Vera Rubin platform.

• This move is part of a larger strategy for OpenAI, which continues diversifying its infrastructure partners after moving away from its exclusive cloud provider agreement with Microsoft.

Bottom line: This partnership provides OpenAI with the immense computational fuel required to train its next frontier of AI models. The deal also signals the incredible scale of investment now needed to compete at the highest level of AI development, further cementing Nvidia's central role in the ecosystem.

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OpenAI's Hardware Gambit

The Recap: OpenAI is making a major play for the consumer hardware market, building a new line of AI-native devices. The company officially announced the move after acquiring legendary designer Jony Ive's startup and is tapping into Apple's supply chain to bring its vision to life.

Unpacked:

• OpenAI is staffing up with top-tier talent, hiring at least 25 former Apple employees, including designers and manufacturing experts, to lead its new hardware division.

• The company is partnering with Apple's key suppliers, Luxshare and Goertek, giving it immediate access to the world-class infrastructure used to build iPhones and AirPods.

• The ambition goes beyond consumer gadgets, as OpenAI is also co-developing custom AI accelerator chips with Broadcom and investing in its own data center infrastructure.

Bottom line: This positions OpenAI as a direct competitor to the tech giants whose platforms it currently powers, including its own partner, Apple. The initiative could fast-track a new era of ambient, AI-first devices designed to supplement or even challenge the smartphone.

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The Rise of 'Workslop'

The Recap: A new term is circling the workplace: “workslop.” It’s the low-quality, AI-generated content that looks polished but creates more work for colleagues, and according to new research from HBR and Stanford, it's quietly draining productivity.

Unpacked:

• Workslop happens when AI is used as a shortcut for thinking, producing superficial reports, slides, or code that a colleague then has to fix or decipher. A recent survey found 40% of U.S. workers have received it in the last month.

• The phenomenon creates a significant hidden tax on businesses, with employees spending nearly two hours correcting each instance. This costs an organization of 10,000 people over $9 million annually in lost productivity.

• Beyond the time and money, workslop is eroding trust among teams. After receiving it, 42% of employees viewed the sender as less trustworthy, harming collaboration and team dynamics.

Bottom line: This isn't a call to abandon AI, but to use it with more intention. The key is shifting from indiscriminate AI usage to a more thoughtful approach that treats AI as a collaborative partner, not just a shortcut.

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The $100,000 AI Visa

The Recap: The Trump administration introduced a new $100,000 fee on new H-1B visa applications, significantly altering how U.S. companies hire skilled foreign talent.

Unpacked:

• After initial confusion, the White House clarified the fee applies only to new applicants, not renewals or current visa holders.

• Tech leaders like Nvidia's Jensen Huang and OpenAI's Sam Altman offered nuanced support, viewing it as a potential way to streamline hiring the "brightest minds."

• Companies will likely respond by offshoring more work and may accelerate AI adoption to optimize their workforce and reduce reliance on the program.

Bottom line: This policy could unintentionally become a major catalyst for automation in the tech industry. Instead of just hiring more local talent, companies may now have a stronger financial incentive to build AI systems that fill critical skill gaps.

The Shortlist

Hundreds urged governments to establish an international agreement on "red lines" for AI by 2026, with signatories including Geoffrey Hinton, an OpenAI co-founder, and multiple Nobel laureates.

Citi launched an upgraded agentic AI platform called Citi Stylus Workspaces, designed to help its employees streamline complex, multi-step workflows into single prompts.

CompileBench introduced a new benchmark testing the ability of AI agents to handle messy, real-world tasks like compiling 22-year-old legacy code, with Anthropic models taking the top spots.

LinkedIn announced it will begin using public profile data and content from European members to train its generative AI models starting November 3rd, providing an opt-out setting for users.

Signing off,

David, Lucas, Mitchell — The Recap editorial team